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SVMModel::predict

(PECL svm >= 0.1.0)

SVMModel::predictPredict a value for previously unseen data

Description

public SVMModel::predict ( array $data ) : float

This function accepts an array of data and attempts to predict the class or regression value based on the model extracted from previously trained data.

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Parameters

data

The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous.

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Return Values

Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error

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See Also

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Document created the 30/01/2003, last modified the 26/10/2018
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References

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